EP3859605A3 - Image recognition method, apparatus, device, and computer storage medium - Google Patents

Image recognition method, apparatus, device, and computer storage medium Download PDF

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Publication number
EP3859605A3
EP3859605A3 EP21163966.1A EP21163966A EP3859605A3 EP 3859605 A3 EP3859605 A3 EP 3859605A3 EP 21163966 A EP21163966 A EP 21163966A EP 3859605 A3 EP3859605 A3 EP 3859605A3
Authority
EP
European Patent Office
Prior art keywords
face image
human face
obtaining
defect
recognition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP21163966.1A
Other languages
German (de)
French (fr)
Other versions
EP3859605A2 (en
Inventor
Zhizhi GUO
Yipeng Sun
Jingtuo LIU
Junyu Han
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Baidu Netcom Science and Technology Co Ltd
Original Assignee
Beijing Baidu Netcom Science and Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Baidu Netcom Science and Technology Co Ltd filed Critical Beijing Baidu Netcom Science and Technology Co Ltd
Publication of EP3859605A2 publication Critical patent/EP3859605A2/en
Publication of EP3859605A3 publication Critical patent/EP3859605A3/en
Ceased legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/253Fusion techniques of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/29Graphical models, e.g. Bayesian networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • G06T2207/30201Face

Abstract

The present application discloses an image recognition method, apparatus, device, and a computer storage medium, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. The method includes: performing organ recognition on a human face image and marking positions of the human facial five sense organs in the human face image, obtaining a marked human face image; inputting the marked human face image into a backbone network model and performing feature extraction, obtaining defect features of the marked human face image outputted by different convolutional neural network levels of the backbone network model; and fusing the defect features of different levels that are located in a same area of the human face image, obtaining a defect recognition result of the human face image. Embodiments of the present application can improve the accuracy and efficiency of human facial defect recognition.
EP21163966.1A 2020-06-30 2021-03-22 Image recognition method, apparatus, device, and computer storage medium Ceased EP3859605A3 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010611133.8A CN111767858B (en) 2020-06-30 2020-06-30 Image recognition method, device, equipment and computer storage medium

Publications (2)

Publication Number Publication Date
EP3859605A2 EP3859605A2 (en) 2021-08-04
EP3859605A3 true EP3859605A3 (en) 2021-10-13

Family

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Family Applications (1)

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EP21163966.1A Ceased EP3859605A3 (en) 2020-06-30 2021-03-22 Image recognition method, apparatus, device, and computer storage medium

Country Status (5)

Country Link
US (1) US11756332B2 (en)
EP (1) EP3859605A3 (en)
JP (1) JP7301092B2 (en)
KR (1) KR20210040313A (en)
CN (1) CN111767858B (en)

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CN112598591A (en) * 2020-12-18 2021-04-02 北京达佳互联信息技术有限公司 Image processing method, image processing device, electronic equipment and storage medium
CN112581359B (en) * 2020-12-23 2023-06-09 Oppo(重庆)智能科技有限公司 Image processing method, device, terminal and storage medium
CN114049315B (en) * 2021-10-29 2023-04-18 北京长木谷医疗科技有限公司 Joint recognition method, electronic device, storage medium, and computer program product
CN114115054A (en) * 2021-11-30 2022-03-01 沈阳工业大学 Online detection robot control system based on neural network
WO2024039785A1 (en) * 2022-08-18 2024-02-22 Onto Innovation Inc. Substrate defect-detection and comparison
CN116959064B (en) * 2023-06-25 2024-04-26 上海腾桥信息技术有限公司 Certificate verification method and device, computer equipment and storage medium
CN117523636A (en) * 2023-11-24 2024-02-06 北京远鉴信息技术有限公司 Face detection method and device, electronic equipment and storage medium

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Also Published As

Publication number Publication date
US20210209343A1 (en) 2021-07-08
JP2021108215A (en) 2021-07-29
KR20210040313A (en) 2021-04-13
JP7301092B2 (en) 2023-06-30
CN111767858A (en) 2020-10-13
US11756332B2 (en) 2023-09-12
CN111767858B (en) 2024-03-22
EP3859605A2 (en) 2021-08-04

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